JOB DESCRIPTION
The Data Engineer will support the development, execution, and monitoring of data pipelines, ensuring reliable and secure data delivery for analytics, reporting, and decision-making across the bank.
Key Responsibilities
- Develop and enhance ETL pipelines under guidance from senior engineers.
- Perform data ingestion, transformation, and basic modelling tasks.
- Monitor pipeline execution, identify failures, and support issue resolution.
- Execute data validation, reconciliation, and quality checks.
- Maintain technical documentation and pipeline metadata.
- Follow defined coding, security, and data engineering standards.
- Support audit, compliance, and internal review requirements.
Qualifications & Experience
- Bachelor's degree in Engineering, Computer Science, or related field.
- 1–6 years of experience in data engineering or ETL development.
- Exposure to enterprise data environments is desirable.
Technical Skills
- Strong SQL ,Python and pyspark fundamentals.
- Understanding of ETL pipelines and basic data orchestration concepts.
- Familiarity with version control and structured deployment practices.
- Basic understanding of data validation, monitoring, and quality checks.
- Willingness to learn banking data, security, and regulatory requirements.
